Systematic characterization of wing mechanosensors that monitor airflow and wing deformations.

Systematic characterization of wing mechanosensors that monitor airflow and wing deformations.
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DOI:
10.1016/j.isci.2022.104150
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发表时间:
2022-04-15
期刊:
影响因子:
5.8
通讯作者:
Lin, Huai-Ti
Lin, Huai-Ti
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Fabian, Joseph;Siwanowicz, Igor;Uhrhan, Myriam;Maeda, Masateru;Bomphrey, Richard J.;Lin, Huai-Ti

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Animal wings deform during flight in ways that can enhance lift, facilitate flight control, and mitigate damage. Monitoring the structural and aerodynamic state of the wing is challenging because deformations are passive, and the flow fields are unsteady; it requires distributed mechanosensors that respond to local airflow and strain on the wing. Without a complete map of the sensor arrays, it is impossible to model control strategies underpinned by them. Here, we present the first systematic characterization of mechanosensors on the dragonfly’s wings: morphology, distribution, and wiring. By combining a cross-species survey of sensor distribution with quantitative neuroanatomy and a high-fidelity finite element analysis, we show that the mechanosensors are well placed to perceive features of the wing dynamics relevant to flight. This work describes the wing sensory apparatus in its entirety and advances our understanding of the sensorimotor loop that facilitates exquisite flight control in animals with highly deformable wings. Dragonfly wings are innervated by an extensive collection of sensory neurons Mechanosensors are spread across the whole span of the wing with consistent patterns The axons of wing sensory neurons are scaled to compensate for transmission latencies Anatomically accurate models reveal wing strain fields that inform sensor distribution Entomology; Animal physiology; Sensory neuroscience; Biomechanics
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